Samsung Galaxy Z Flip6
Geekbench AI Score
2109
Single Precision Score
2035
Half Precision Score
2984
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 01:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Flip6 |
| Model ID | samsung SM-F741N |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2204
409.8 IPS |
|
|
Image Classification (HP)
|
100% |
2417
449.6 IPS |
|
|
Image Classification (Q)
|
100% |
3567
663.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2662
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4203
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4248
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3820
4.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
6651
7.89 IPS |
|
|
Object Detection (SP)
|
98% |
1474
117.3 IPS |
|
|
Object Detection (HP)
|
98% |
1338
106.4 IPS |
|
|
Object Detection (Q)
|
83% |
2114
170.8 IPS |
|
|
Face Detection (SP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4572
54.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3004
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3002
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4702
43.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6837
8.88 IPS |
|
|
Style Transfer (HP)
|
89% |
5816
7.55 IPS |
|
|
Style Transfer (Q)
|
98% |
10879
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2667
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.6 IPS |
|
|
Text Classification (HP)
|
99% |
482
643.3 IPS |
|
|
Text Classification (Q)
|
88% |
816
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (Q)
|
50% |
523
18.6 IPS |
